Dear R Help, I have a general question - I know this is the R list, but I hope someone can help me out a little as I've always found the help here to be absolutely fantastic.
I have run a psychological study where participants are given multiple stimuli and their responses to those stimuli are measured on the same numerical scale, i.e., the data is something like Participant Stimulus Measurement p1 s`1 5 p1 s`2 6.1 p1 s`3 7 p2 s`1 4.8 p2 s`2 6 p2 s`3 6.5 p3 s`1 4 p3 s`2 7 p3 s`3 6 I would like to be able to measure the between participant variability for my data - i.e., determine whether measurements are relatively homogeneous across participants and whether there are very strange outliers (i.e., participants who maybe gave random or purposefully incorrect answers). Can anyone point me towards the correct type of tests for quantifying this? I have read that a repeated measure ANOVA might be a starting point. Many many thanks for any help you can give me! Claus ______________________________________________ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
